Released
Dataset

EMCA Seismic exposure model for the Kyrgyz Republic

Cite as:

Pittore, Massimiliano; Wieland, Marc; Haas, Michael; Silva, Vitor (2019): EMCA Seismic exposure model for the Kyrgyz Republic. V. 1.0. GFZ Data Services. https://doi.org/10.5880/GFZ.2.6.2019.003

Status

I   N       R   E   V   I   E   W : Pittore, Massimiliano; Wieland, Marc; Haas, Michael; Silva, Vitor (2019): EMCA Seismic exposure model for the Kyrgyz Republic. V. 1.0. GFZ Data Services. https://doi.org/10.5880/GFZ.2.6.2019.003

Abstract

Multi-resolution exposure model for seismic risk assessment in the Kyrgyz Republic. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2020) "Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of 1'175 geo-cells covering the territory of the Kyrgyz Republic. The model integrates around 6'000 building observations (see related dataset Pittore et al. 2019).

The following specific modelling parameters have been employed: Two exposure models are provided, with prior strength pw 10 and 100. Both models have epsilon=0.001 (see publication indicated in the metadata for details on the modelling process). For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km.

The data package contains three components:
1) exposure models in .csv
2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine
3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models

Authors

  • Pittore, Massimiliano;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Wieland, Marc;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Haas, Michael;GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Silva, Vitor;GEM Foundation, Pavia, Italy

Contact

Contributors

Pittore Massimiliano

Keywords

Earthquake Risk, taxonomy, RRVS, GEM, EMCA, Central Asia, geological process > seismic activity, risk > natural risk, safety > risk assessment > disaster preparedness, safety > risk assessment > natural risk analysis, safety > risk assessment > risk exposure

GCMD Science Keywords

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    License: CC BY 4.0

    Dataset Description

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